What Statistics and Analytics Resources Are Available to HEOR Professionals?

Author(s)

Ebere Onukwugha, BSc, MSc, PhD, Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA, Helene Karcher, PhD, Novartis Pharma AG, Basel, Switzerland and Douglas Faries, PhD, Real World Analytics, Eli Lilly and Company, Indianapolis, IN, USA

Presentation Documents

Purpose: The objectives of this session are to: 1) identify training tools and resources for gaining the statistical knowledge and skills necessary to conduct and report health economics and outcomes research; 2) discuss gaps in training tools and resources.

Description: The ISPOR Health Economics and Outcomes Research (HEOR) Competencies Framework (CF) is comprised of 41 competencies grouped into 13 topic domains. In prior sessions, we highlighted the ‘Statistics and Analytics’ competency, the sole category within the ‘Methodological and Statistical Research’ topic domain. Focusing on the ‘Statistics and Analytics’ competency, we pre-specified subtopics and mapped them to available tools and resources. The pre-specified subtopics included: study design; regression models; extract-transform-load; data; statistical inference; big data methods; prediction models; statistical programs; emerging interfaces; risk adjustment methods; communicating results (visualization). The list of subtopics was developed by the study team, reviewed by experts in the HEOR field, and then updated based on their input. We developed data collection tools and utilized them to systematically extract information about training resources available in the published literature or provided through ISPOR webinars and Short Courses.

During this session, we will describe our search process then present our findings from the review of published literature (12 minutes, Onukwugha), ISPOR webinars (12 minutes, Karcher), and ISPOR Short Courses (12 minutes, Faries). Presenters will characterize training resources based on the identified subtopics addressed, recommendations provided, and links to supplemental training tools. We will identify gaps in the available training tools and resources by describing the extent to which they covered the range of pre-specified subtopics (4 minutes, Onukwugha). The session will conclude with a discussion (15 minutes) during which we will seek feedback from the audience on approaches to address the identified gaps and guidance on the next competency category that should be examined.

Conference/Value in Health Info

2022-05, ISPOR 2022, Washington, DC, USA

Code

226

Topic

Methodological & Statistical Research

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